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ORCIDFadi Dornaika
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- affiliation: University of the Basque Country, San Sebastian, Spain
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2020 – today
- 2024
[j171]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed:
Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Artif. Intell. Rev. 57(4): 90 (2024)- [j170]Pendar Alirezazadeh, Fadi Dornaika, Jinan Charafeddine:
Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification. Artif. Intell. Rev. 57(12): 326 (2024) - [j169]Fadi Dornaika, Zoulfikar Ibrahim, Alireza Bosaghzadeh:
Overcoming graph topology imbalance for inductive and scalable semi-supervised learning. Appl. Soft Comput. 151: 111164 (2024) - [j168]Fares Bougourzi
, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. Comput. Biol. Medicine 176: 108590 (2024) - [j167]Fadi Dornaika, Abdullah Baradaaji:
Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification. Cogn. Comput. 16(3): 827-840 (2024) - [j166]Fadi Dornaika, Sally El Hajjar, Jinan Charafeddine:
Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering. Eng. Appl. Artif. Intell. 133: 108336 (2024) - [j165]Jingjun Bi, Fadi Dornaika:
Sample-weighted fused graph-based semi-supervised learning on multi-view data. Inf. Fusion 104: 102175 (2024) - [j164]D. Sun, Fadi Dornaika:
Data augmentation for deep visual recognition using superpixel based pairwise image fusion. Inf. Fusion 107: 102308 (2024) - [j163]D. Sun, Fadi Dornaika, Jinan Charafeddine:
LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation. Inf. Fusion 110: 102484 (2024) - [j162]Najmeh Ziraki, Alireza Bosaghzadeh, Fadi Dornaika:
Semi-Supervised Learning for Multi-View Data Classification and Visualization. Inf. 15(7): 421 (2024) - [j161]Bouthaina Slika, Fadi Dornaika, Hamid Merdji, Karim Hammoudi:
Lung pneumonia severity scoring in chest X-ray images using transformers. Medical Biol. Eng. Comput. 62(8): 2389-2407 (2024) - [j160]Fadi Dornaika, Sally El Hajjar:
Towards a unified framework for graph-based multi-view clustering. Neural Networks 173: 106197 (2024) - [j159]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Suman Chaudhary, Wanting Yang, Yan Qiang, Talha Anwar, Mihaela Elena Breaban, Chih-Chung Hsu, Shen-Chieh Tai, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato:
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24(5): 1557 (2024) - [j158]Charbel Geryes Aoun, Noura Mansour, Fadi Dornaika, Loïc Lagadec:
Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach. Sensors 24(8): 2433 (2024) - [j157]Fadi Dornaika, Sally El Hajjar:
An End-to-End Approach for Graph-Based Multi-View Data Clustering. IEEE Trans. Big Data 10(5): 644-654 (2024) - [j156]Fadi Dornaika, Danyang Sun:
LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition. IEEE Trans. Image Process. 33: 205-215 (2024) - [j155]Fadi Dornaika:
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution. ACM Trans. Intell. Syst. Technol. 15(1): 6:1-6:24 (2024) - [j154]Fadi Dornaika, Zoulfikar Ibrahim, Alireza Bosaghzadeh:
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology. ACM Trans. Knowl. Discov. Data 18(5): 133:1-133:18 (2024) - [c122]Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika:
Large Scale Graph Construction and Label Propagation. VISIGRAPP (2): VISAPP 2024: 702-709 - [c121]Danyang Sun, Fadi Dornaika:
Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity. VISIGRAPP (2): VISAPP 2024: 710-717 - [i17]Fares Bougourzi, Féryal Windal Moulaï, Halim Benhabiles, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. CoRR abs/2403.11338 (2024) - [i16]Mahdi Tavassoli Kejani, Fadi Dornaika, Jean-Michel Loubes:
Fair Graph Neural Network with Supervised Contrastive Regularization. CoRR abs/2404.06090 (2024) - [i15]Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang:
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. CoRR abs/2404.18199 (2024) - [i14]Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges. CoRR abs/2404.19598 (2024) - [i13]Fares Bougourzi, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images. CoRR abs/2405.04169 (2024) - [i12]Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang:
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. CoRR abs/2408.13774 (2024) - 2023
- [j153]Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika:
Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning. Artif. Intell. Rev. 56(9): 9471-9495 (2023) - [j152]Fadi Dornaika, Sally El Hajjar:
Direct multi-view spectral clustering with consistent kernelized graph and convolved nonnegative representation. Artif. Intell. Rev. 56(10): 10987-11015 (2023) - [j151]Fadi Dornaika:
From multi-view data features to clusters: a unified approach. Artif. Intell. Rev. 56(Supplement 3): 3821-3852 (2023) - [j150]Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras:
White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope. Algorithms 16(11): 525 (2023) - [j149]Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras:
Blood Cell Revolution: Unveiling 11 Distinct Types with 'Naturalize' Augmentation. Algorithms 16(12): 562 (2023) - [j148]Fares Bougourzi, Fadi Dornaika, Nagore Barrena, Cosimo Distante, Abdelmalik Taleb-Ahmed:
CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. Appl. Intell. 53(9): 10825-10842 (2023) - [j147]Pendar Alirezazadeh, Fadi Dornaika:
Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images. Comput. Biol. Medicine 166: 107528 (2023) - [j146]Fadi Dornaika:
Deep, Flexible Data Embedding with Graph-Based Feature Propagation for Semi-supervised Classification. Cogn. Comput. 15(1): 1-12 (2023) - [j145]Najmeh Ziraki, Alireza Bosaghzadeh, Fadi Dornaika, Zoulfikar Ibrahim, Nagore Barrena:
Inductive Multi-View Semi-supervised Learning with a Consensus Graph. Cogn. Comput. 15(3): 904-913 (2023) - [j144]Fadi Dornaika, Abdullah Baradaaji, Vinh Truong Hoang:
Simultaneous label inference and discriminant projection estimation through adaptive self-taught graphs. Expert Syst. Appl. 211: 118480 (2023) - [j143]D. Elhani, Ahmed Chaouki Megherbi, Athmane Zitouni, Fadi Dornaika, Salim Sbaa, A. Taleb-Ahmed:
Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification. Expert Syst. Appl. 229(Part A): 120411 (2023) - [j142]Fadi Dornaika, Sally El Hajjar:
Single phase multi-view clustering using unified graph learning and spectral representation. Inf. Sci. 645: 119366 (2023) - [j141]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans. Medical Image Anal. 86: 102797 (2023) - [j140]Fadi Dornaika, Vinh Truong Hoang:
Deep data representation with feature propagation for semi-supervised learning. Int. J. Mach. Learn. Cybern. 14(4): 1303-1316 (2023) - [j139]Fadi Dornaika, Vinh Truong Hoang:
A novel graph-based multi-view spectral clustering: application to X-ray image analysis for COVID-19 recognition. Neural Comput. Appl. 35(29): 22043-22053 (2023) - [j138]Fadi Dornaika, Jingjun Bi, Chongsheng Zhang:
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization. Neural Networks 158: 188-196 (2023) - [j137]Fadi Dornaika, Abdullah Baradaaji:
A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace. Neural Networks 166: 248-259 (2023) - [j136]Khamis Houfar, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed:
Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC). Pattern Recognit. 137: 109281 (2023) - [j135]Fadi Dornaika, D. Sun, Karim Hammoudi, Jinan Charafeddine, Adnane Cabani, Chongsheng Zhang:
Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. Pattern Recognit. 139: 109481 (2023) - [j134]Fadi Dornaika:
Multi-similarity semi-supervised manifold embedding for facial attractiveness scoring. Soft Comput. 27(8): 5099-5108 (2023) - [j133]Abdullah Baradaaji, Fadi Dornaika:
Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs. ACM Trans. Intell. Syst. Technol. 14(4): 62:1-62:25 (2023) - [c120]Jingjun Bi, Fadi Dornaika:
A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization. AAIA 2023: 336-342 - [c119]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. ICASSP Workshops 2023: 1-5 - [c118]Fadi Dornaika, Abdullah Baradaaji, Jinan Charafeddine:
Semi-supervised Classification through Data and Label Graph Fusion. ICCA 2023: 1-6 - [c117]Fadi Dornaika, Jihad Mohamad Al Ja'am, Alireza Bosaghzadeh, Zoulfikar Ibrahim, Nagore Barrena:
Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding. ICCA 2023: 1-6 - [c116]Bouthaina Slika, Fadi Dornaika, Karim Hammoudi, Vinh Truong Hoang:
Automatic Quantification of Lung Infection Severity in Chest X-ray Images. SSP 2023: 418-422 - [i11]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. CoRR abs/2303.08740 (2023) - [i10]Bouthaina Slika, Fadi Dornaika, Hamid Merdji, Karim Hammoudi:
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images. CoRR abs/2303.11935 (2023) - [i9]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation. CoRR abs/2303.15576 (2023) - [i8]Fadi Dornaika, Radu Horaud:
Simultaneous Robot-World and Hand-Eye Calibration. CoRR abs/2311.11818 (2023) - [i7]Radu Horaud, Fadi Dornaika:
Hand-Eye Calibration. CoRR abs/2311.12655 (2023) - [i6]Radu Horaud, Fadi Dornaika, Bernard Espiau:
Visually Guided Object Grasping. CoRR abs/2311.12660 (2023) - 2022
- [j132]Fadi Dornaika, Abdelmalik Moujahid:
Multi-View Graph Fusion for Semi-Supervised Learning: Application to Image-Based Face Beauty Prediction. Algorithms 15(6): 207 (2022) - [j131]Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid:
A deep learning loss based on additive cosine margin: Application to fashion style and face recognition. Appl. Soft Comput. 131: 109776 (2022) - [j130]Xabier Lekunberri, Jon Ruiz, Iñaki Quincoces, Fadi Dornaika, Ignacio Arganda-Carreras, Jose A. Fernandes:
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning. Ecol. Informatics 67: 101495 (2022) - [j129]Fadi Dornaika, A. Khoder, W. Khoder:
Data representation via refined discriminant analysis and common class structure. Neurocomputing 483: 348-360 (2022) - [j128]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah:
Multi-view spectral clustering via constrained nonnegative embedding. Inf. Fusion 78: 209-217 (2022) - [j127]Fadi Dornaika:
On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization. Inf. Sci. 584: 467-478 (2022) - [j126]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah:
One-step multi-view spectral clustering with cluster label correlation graph. Inf. Sci. 592: 97-111 (2022) - [j125]O. Guehairia, Fadi Dornaika, Abdelmalik Ouamane, Abdelmalik Taleb-Ahmed:
Facial age estimation using tensor based subspace learning and deep random forests. Inf. Sci. 609: 1309-1317 (2022) - [j124]Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. J. Heal. Informatics Res. 6(4): 442-460 (2022) - [j123]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah, Nagore Barrena:
Consensus graph and spectral representation for one-step multi-view kernel based clustering. Knowl. Based Syst. 241: 108250 (2022) - [j122]Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression. Knowl. Based Syst. 242: 108246 (2022) - [j121]Salah Eddine Bekhouche, Yassine Ruichek, Fadi Dornaika:
Driver drowsiness detection in video sequences using hybrid selection of deep features. Knowl. Based Syst. 252: 109436 (2022) - [j120]Selma Trabelsi, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed:
Efficient palmprint biometric identification systems using deep learning and feature selection methods. Neural Comput. Appl. 34(14): 12119-12141 (2022) - [j119]Fadi Dornaika, A. Khoder, Abdelmalik Moujahid, W. Khoder:
A supervised discriminant data representation: application to pattern classification. Neural Comput. Appl. 34(19): 16879-16895 (2022) - [j118]Najmeh Ziraki, Fadi Dornaika, Alireza Bosaghzadeh:
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation. Neural Networks 146: 174-180 (2022) - [j117]Issam Serraoui, Oualid Laiadi, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Knowledge-based tensor subspace analysis system for kinship verification. Neural Networks 151: 222-237 (2022) - [j116]Salah Eddine Bekhouche, Ibrahim Kajo, Yassine Ruichek, Fadi Dornaika:
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection. Neural Networks 152: 150-159 (2022) - [j115]Aitor Almeida, Unai Bermejo, Aritz Bilbao, Gorka Azkune, Unai Aguilera, Mikel Emaldi, Fadi Dornaika, Ignacio Arganda-Carreras:
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments. Sensors 22(3): 701 (2022) - [j114]Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid:
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval. Sensors 22(7): 2660 (2022) - [j113]Fadi Dornaika, Abdelmalik Moujahid:
Feature and instance selection through discriminant analysis criteria. Soft Comput. 26(24): 13431-13447 (2022) - [j112]Fadi Dornaika, Abdullah Baradaaji, Youssof El Traboulsi:
Joint Label Inference and Discriminant Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4413-4423 (2022) - [c115]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. ECCV Workshops (7) 2022: 593-604 - [c114]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah, Hichem Omrani:
Multi-view Spectral Clustering via Integrating Label and Data Graph Learning. ICIAP (3) 2022: 109-120 - [c113]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
ILC-Unet++ for Covid-19 Infection Segmentation. ICIAP Workshops 2022: 461-472 - [c112]Sally El Hajjar, Fadi Dornaika, Fahed Abdallah:
Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering. SADASC 2022: 3-16 - [c111]Maria Al Jreidy, Joseph Constantin, Fadi Dornaika, Denis Hamad:
Graph Convolution Networks for Unsupervised Learning. SADASC 2022: 24-33 - [i5]Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. CoRR abs/2204.08458 (2022) - [i4]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan. CoRR abs/2206.15431 (2022) - 2021
- [j111]Fadi Dornaika:
Joint feature and instance selection using manifold data criteria: application to image classification. Artif. Intell. Rev. 54(3): 1735-1765 (2021) - [j110]A. Khoder, Fadi Dornaika:
A hybrid discriminant embedding with feature selection: application to image categorization. Appl. Intell. 51(6): 3142-3158 (2021) - [j109]Fadi Dornaika:
Flexible data representation with feature convolution for semi-supervised learning. Appl. Intell. 51(11): 7690-7704 (2021) - [j108]A. Khoder, Fadi Dornaika:
Ensemble learning via feature selection and multiple transformed subsets: Application to image classification. Appl. Soft Comput. 113(Part): 108006 (2021) - [j107]Abdelmalik Moujahid, Fadi Dornaika, Ignacio Arganda-Carreras, Jorge Reta:
Efficient and compact face descriptor for driver drowsiness detection. Expert Syst. Appl. 168: 114334 (2021) - [j106]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Inductive semi-supervised learning with Graph Convolution based regression. Neurocomputing 434: 315-322 (2021) - [j105]Saeedeh Bahrami, Fadi Dornaika, Alireza Bosaghzadeh:
Joint auto-weighted graph fusion and scalable semi-supervised learning. Inf. Fusion 66: 213-228 (2021) - [j104]Ilyes Bendjoudi, Frédéric Vanderhaegen, Denis Hamad, Fadi Dornaika:
Multi-label, multi-task CNN approach for context-based emotion recognition. Inf. Fusion 76: 422-428 (2021) - [j103]Fadi Dornaika, Abdullah Baradaaji, Youssof El Traboulsi:
Semi-supervised classification via simultaneous label and discriminant embedding estimation. Inf. Sci. 546: 146-165 (2021) - [j102]Fares Bougourzi, Cosimo Distante, Abdelkrim Ouafi, Fadi Dornaika, Abdenour Hadid, Abdelmalik Taleb-Ahmed:
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. J. Imaging 7(9): 189 (2021) - [j101]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. J. Medical Syst. 45(7): 75 (2021) - [j100]Fadi Dornaika:
Multi-layer linear embedding with feature subset selection. Knowl. Inf. Syst. 63(4): 1029-1043 (2021) - [j99]Fawzi Khattar, Franck Luthon, Benoit Larroque, Fadi Dornaika:
Visual localization and servoing for drone use in indoor remote laboratory environment. Mach. Vis. Appl. 32(1): 32 (2021) - [j98]Fadi Dornaika:
Flexible data representation with graph convolution for semi-supervised learning. Neural Comput. Appl. 33(12): 6851-6863 (2021) - [j97]A. Khoder, Fadi Dornaika:
An enhanced approach to the robust discriminant analysis and class sparsity based embedding. Neural Networks 136: 11-16 (2021) - [j96]Hichem Telli, Salim Sbaa, Salah Eddine Bekhouche, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Miguel Bordallo López:
A Novel Multi-Level Pyramid Co-Variance Operators for Estimation of Personality Traits and Job Screening Scores. Traitement du Signal 38(3): 539-546 (2021) - [j95]Fadi Dornaika:
Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification. ACM Trans. Knowl. Discov. Data 15(4): 56:1-56:11 (2021) - [c110]Jon Goenetxea, Luis Unzueta, Unai Elordi, Oihana Otaegui, Fadi Dornaika:
Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images. VISIGRAPP (5: VISAPP) 2021: 680-687 - 2020
- [j94]Fadi Dornaika:
Multi-layer manifold learning with feature selection. Appl. Intell. 50(6): 1859-1871 (2020) - [j93]Fadi Dornaika, Abdelmalik Moujahid, Kunwei Wang, X. Feng:
Efficient deep discriminant embedding: Application to face beauty prediction and classification. Eng. Appl. Artif. Intell. 95: 103831 (2020) - [j92]Fadi Dornaika, Salah Eddine Bekhouche, Ignacio Arganda-Carreras:
Robust regression with deep CNNs for facial age estimation: An empirical study. Expert Syst. Appl. 141 (2020) - [j91]Fadi Dornaika, Kunwei Wang, Ignacio Arganda-Carreras, Anne Elorza, Abdelmalik Moujahid:
Toward graph-based semi-supervised face beauty prediction. Expert Syst. Appl. 142 (2020) - [j90]Alireza Bosaghzadeh, Fadi Dornaika:
Incremental and dynamic graph construction with application to image classification. Expert Syst. Appl. 144: 113117 (2020) - [j89]Fares Bougourzi, Fadi Dornaika, Karim Mokrani, Abdelmalik Taleb-Ahmed, Yassine Ruichek:
Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. Expert Syst. Appl. 156: 113459 (2020) - [j88]C. Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Learned versus Handcrafted Features for Person Re-identification. Int. J. Pattern Recognit. Artif. Intell. 34(4): 2055009:1-2055009:19 (2020) - [j87]Abdelhakim Chergui, Salim Ouchtati, Sébastien Mavromatis, Salah Eddine Bekhouche, Jean Sequeira, Fadi Dornaika:
Kinship verification through facial images using multiscale and multilevel handcrafted features. J. Electronic Imaging 29(2): 023017 (2020) - [j86]Alireza Bosaghzadeh, Fadi Dornaika:
Feature extraction from null and non-null spaces of kernel local discriminant embedding. Knowl. Inf. Syst. 62(8): 3217-3238 (2020) - [j85]Fadi Dornaika:
Sparse graphs using global and local smoothness constraints. Int. J. Mach. Learn. Cybern. 11(6): 1241-1251 (2020) - [j84]Fadi Dornaika, Youssof El Traboulsi, Yassine Ruichek:
Parameter self-tuning schemes for the two phase test sample sparse representation classifier. Int. J. Mach. Learn. Cybern. 11(7): 1387-1403 (2020) - [j83]Fadi Dornaika, Anne Elorza, Kunwei Wang, Ignacio Arganda-Carreras:
Image-based face beauty analysis via graph-based semi-supervised learning. Multim. Tools Appl. 79(3-4): 3005-3030 (2020) - [j82]Jon Goenetxea, Luis Unzueta, Fadi Dornaika, Oihana Otaegui:
Efficient deformable 3D face model tracking with limited hardware resources. Multim. Tools Appl. 79(17-18): 12373-12400 (2020) - [j81]Salah Eddine Bekhouche, Fadi Dornaika, Azeddine Benlamoudi, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed:
A comparative study of human facial age estimation: handcrafted features vs. deep features. Multim. Tools Appl. 79(35-36): 26605-26622 (2020) - [j80]Abdelmalik Moujahid, Fadi Dornaika:
Multi-scale multi-block covariance descriptor with feature selection. Neural Comput. Appl. 32(10): 6283-6294 (2020) - [j79]Fadi Dornaika, Ignacio Arganda-Carreras, Oscar Serradilla:
Transfer learning and feature fusion for kinship verification. Neural Comput. Appl. 32(11): 7139-7151 (2020) - [j78]Fadi Dornaika, A. Khoder:
Linear embedding by joint Robust Discriminant Analysis and Inter-class Sparsity. Neural Networks 127: 141-159 (2020) - [j77]Mahdi Tavassoli Kejani, Fadi Dornaika, H. Talebi:
Graph Convolution Networks with manifold regularization for semi-supervised learning. Neural Networks 127: 160-167 (2020) - [j76]O. Guehairia, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Feature fusion via Deep Random Forest for facial age estimation. Neural Networks 130: 238-252 (2020) - [j75]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Semi-supervised elastic manifold embedding with deep learning architecture. Pattern Recognit. 107: 107425 (2020) - [c109]Fadi Dornaika, A. Khoder:
Feature Extraction by Joint Robust Discriminant Analysis and Inter-class Sparsity. ICPR 2020: 2972-2979 - [c108]Fadi Dornaika, Abdullah Baradaaji, Youssof El Traboulsi:
Soft Label and Discriminant Embedding Estimation for Semi-Supervised Classification. ICPR 2020: 7250-7257 - [c107]A. Khoder, Fadi Dornaika:
Feature Extraction and Selection via Robust Discriminant Analysis and Class Sparsity. ICPR 2020: 7258-7264 - [i3]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. CoRR abs/2004.03399 (2020)
2010 – 2019
- 2019
- [j74]Saeedeh Bahrami, Alireza Bosaghzadeh, Fadi Dornaika:
Multi Similarity Metric Fusion in Graph-Based Semi-Supervised Learning. Comput. 7(1): 15 (2019) - [j73]Fares Bougourzi, Karim Mokrani, Yassine Ruichek, Fadi Dornaika, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed:
Fusion of transformed shallow features for facial expression recognition. IET Image Process. 13(9): 1479-1489 (2019) - [j72]Fadi Dornaika, Anne Elorza, Kunwei Wang, Ignacio Arganda-Carreras:
Nonlinear, flexible, semisupervised learning scheme for face beauty scoring. J. Electronic Imaging 28(4): 043013 (2019) - [j71]Abdelmalik Moujahid, Fadi Dornaika:
A pyramid multi-level face descriptor: application to kinship verification. Multim. Tools Appl. 78(7): 9335-9354 (2019) - [j70]Fadi Dornaika, Ignacio Arganda-Carreras, C. Belver:
Age estimation in facial images through transfer learning. Mach. Vis. Appl. 30(1): 177-187 (2019) - [j69]Abdelmalik Moujahid, Fadi Dornaika, Yassine Ruichek, Karim Hammoudi:
Towards semantic segmentation of orthophoto images using graph-based community identification. Neural Comput. Appl. 31(S-2): 1155-1163 (2019) - [j68]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Learning a discriminant graph-based embedding with feature selection for image categorization. Neural Networks 111: 35-46 (2019) - [j67]Fadi Dornaika, Youssof El Traboulsi:
Joint sparse graph and flexible embedding for graph-based semi-supervised learning. Neural Networks 114: 91-95 (2019) - [j66]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Joint graph based embedding and feature weighting for image classification. Pattern Recognit. 93: 458-469 (2019) - [j65]Fadi Dornaika, Libo Weng:
Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification. Pattern Recognit. 95: 285-295 (2019) - [j64]Fadi Dornaika, Karim Hammoudi, Mahmoud Melkemi, T. D. A. Phan:
An efficient pyramid multi-level image descriptor: application to image-based parking lot monitoring. Signal Image Video Process. 13(8): 1611-1617 (2019) - [j63]Fadi Dornaika:
Active Two Phase Collaborative Representation Classifier. ACM Trans. Knowl. Discov. Data 13(4): 36:1-36:10 (2019) - [c106]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Discriminant Manifold Learning with Graph Convolution Based Regression for Image Classification. GbRPR 2019: 226-236 - [c105]Fadi Dornaika, Alireza Bosaghzadeh:
Adaptive Hybrid Representation for Graph-Based Semi-supervised Classification. ICIAP (1) 2019: 164-174 - [c104]Fadi Dornaika, Youssof El Traboulsi, Y. Ruicheck:
Active Two Phase Collaborative Representation Classifier for Image Categorization. ICIAP (1) 2019: 175-184 - [c103]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Joint Graph Based Embedding and Feature Weighting for Image Classification. IJCNN 2019: 1-8 - [c102]Halim Benhabiles, Karim Hammoudi, Ziheng Yang, Féryal Windal, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras:
Deep Learning based Detection of Hair Loss Levels from Facial Images. IPTA 2019: 1-6 - 2018
- [j62]Abdelmalik Moujahid, Fadi Dornaika:
Feature selection for spatially enhanced LBP: application to face recognition. Int. J. Data Sci. Anal. 5(1): 11-18 (2018) - [j61]Fadi Dornaika, Libo Weng, Zhong Jin:
Structured sparse graphs using manifold constraints for visual data analysis. Neurocomputing 315: 107-114 (2018) - [j60]Youssof El Traboulsi, Fadi Dornaika:
Flexible semi-supervised embedding based on adaptive loss regression: Application to image categorization. Inf. Sci. 444: 1-19 (2018) - [j59]Youssof El Traboulsi, Fadi Dornaika, Yassine Ruichek:
Semi-supervised two phase test sample sparse representation classifier. Knowl. Based Syst. 160: 16-27 (2018) - [j58]Fadi Dornaika, Youssof El Traboulsi:
Proposals for local basis selection for the sparse representation-based classifier. Signal Image Video Process. 12(8): 1595-1601 (2018) - [j57]Fadi Dornaika, Ihab Kamal Aldine:
Instance Selection Using Nonlinear Sparse Modeling. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1457-1461 (2018) - [c101]Fawzi Khattar, Fadi Dornaika, Benoit Larroque, Franck Luthon:
3D Object-Camera and 3D Face-Camera Pose Estimation for Quadcopter Control: Application to Remote Labs. ACIVS 2018: 99-111 - [c100]Fawzi Khattar, Fadi Dornaika, Franck Luthon, Benoit Larroque:
Quadcopter control using onboard monocular camera for enriching remote laboratory facilities. AQTR 2018: 1-6 - [c99]Fadi Dornaika, Fawzi Khattar, Jorge Reta, Ignacio Arganda-Carreras, M. Hernandez, Yassine Ruichek:
Image-Based Driver Drowsiness Detection. FFER/DLPR@ICPR 2018: 61-71 - [c98]Fadi Dornaika, Youssof El Traboulsi, Ruifeng Zhu:
Robust and Flexible Graph-based Semi-supervised Embedding. ICPR 2018: 465-470 - [c97]Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Flexible and Discriminative Non-linear Embedding with Feature Selection for Image Classification. ICPR 2018: 3192-3197 - [c96]Fadi Dornaika, Jorge Reta, Ignacio Arganda-Carreras, Abdelmalik Moujahid:
Driver Drowsiness Detection in Facial Images. IPTA 2018: 1-6 - [c95]Karim Hammoudi, Mahmoud Melkemi, Fadi Dornaika, Halim Benhabiles, Féryal Windal, Oussama Taoufik:
A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. MUE/FutureTech 2018: 221-227 - 2017
- [j56]C. Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization. Eng. Appl. Artif. Intell. 58: 27-33 (2017) - [j55]Salah Eddine Bekhouche, Abdelkrim Ouafi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Pyramid multi-level features for facial demographic estimation. Expert Syst. Appl. 80: 297-310 (2017) - [j54]Fadi Dornaika, R. Dahbi, Alireza Bosaghzadeh, Yassine Ruichek:
Efficient dynamic graph construction for inductive semi-supervised learning. Neural Networks 94: 192-203 (2017) - [j53]Fadi Dornaika, Mahdi Tavassoli Kejani, Alireza Bosaghzadeh:
Graph construction using adaptive Local Hybrid Coding scheme. Neural Networks 95: 91-101 (2017) - [j52]Fadi Dornaika, Youssof El Traboulsi:
Matrix exponential based semi-supervised discriminant embedding for image classification. Pattern Recognit. 61: 92-103 (2017) - [c94]C. Belver, Ignacio Arganda-Carreras, Fadi Dornaika:
Evaluating Age Estimation Using Deep Convolutional Neural Nets. Computational Imaging 2017: 100-105 - [c93]Salah Eddine Bekhouche, Fadi Dornaika, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed:
Personality Traits and Job Candidate Screening via Analyzing Facial Videos. CVPR Workshops 2017: 1660-1663 - [c92]Zinelabdine Boulkenafet, Jukka Komulainen, Zahid Akhtar, Azeddine Benlamoudi, Djamel Samai, Salah Eddine Bekhouche, Abdelkrim Ouafi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Le Qin, Fei Peng, L. B. Zhang, Min Long, Shruti Bhilare, Vivek Kanhangad, Artur Costa-Pazo, Esteban Vázquez-Fernández, Daniel Pérez-Cabo, J. J. Moreira-Perez, Daniel González-Jiménez, Amir Mohammadi, Sushil Bhattacharjee, Sébastien Marcel, Svetlana Volkova, Y. Tang, N. Abe, L. Li, X. Feng, Z. Xia, X. Jiang, S. Liu, Rui Shao, Pong C. Yuen, Waldir R. de Almeida, Fernanda A. Andaló, Rafael Padilha, Gabriel Bertocco, William Dias, Jacques Wainer, Ricardo da Silva Torres, Anderson Rocha, Marcus A. Angeloni, Guilherme Folego, Alan Godoy, Abdenour Hadid:
A competition on generalized software-based face presentation attack detection in mobile scenarios. IJCB 2017: 688-696 - [c91]Fadi Dornaika, Youssof El Traboulsi:
Margin Based Semi-Supervised Elastic Embedding for Face Image Analysis. ICCV Workshops 2017: 1313-1320 - [c90]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika:
Detection Systems for Improving the Citizen Security and Comfort from Urban and Vehicular Surveillance Technologies: An Overview. IISSC/CN4IoT 2017: 37-45 - [c89]Karim Hammoudi, Mahmoud Melkemi, Halim Benhabiles, Fadi Dornaika, Sofiane Hamrioui, Joel J. P. C. Rodrigues:
Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks. MoWNet 2017: 1-6 - 2016
- [j51]Fadi Dornaika, Charbel Chahla, Fawzi Khattar, Fahed Abdallah, Hichem Snoussi:
Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation. Eng. Appl. Artif. Intell. 50: 168-176 (2016) - [j50]Fadi Dornaika, Abdelmalik Moujahid, Youssef El Merabet, Yassine Ruichek:
Building detection from orthophotos using a machine learning approach: An empirical study on image segmentation and descriptors. Expert Syst. Appl. 58: 130-142 (2016) - [j49]Libo Weng, Fadi Dornaika, Zhong Jin:
Graph construction based on data self-representativeness and Laplacian smoothness. Neurocomputing 207: 476-487 (2016) - [j48]Yassine Ruichek, Fadi Dornaika, Maan El Badaoui El Najjar:
Sensors Technologies and Methods for Perception Systems in Intelligent Vehicles. J. Sensors 2016: 7241243:1 (2016) - [j47]Fadi Dornaika, Ihab Kamal Aldine, Abdenour Hadid:
Kernel sparse modeling for prototype selection. Knowl. Based Syst. 107: 61-69 (2016) - [j46]Fadi Dornaika, Youssof El Traboulsi, Ammar Assoum:
Inductive and flexible feature extraction for semi-supervised pattern categorization. Pattern Recognit. 60: 275-285 (2016) - [j45]Libo Weng, Fadi Dornaika, Zhong Jin:
Flexible constrained sparsity preserving embedding. Pattern Recognit. 60: 813-823 (2016) - [j44]Fadi Dornaika, Youssof El Traboulsi:
Learning Flexible Graph-Based Semi-Supervised Embedding. IEEE Trans. Cybern. 46(1): 206-218 (2016) - [c88]Fadi Dornaika, Ammar Assoum, Abdelmalik Moujahid:
Place Recognition Using Image Retrieval with Covariance Descriptors. IRIACV 2016: 1-6 - [c87]Abdelmalik Moujahid, Amaia Abanda, Fadi Dornaika:
Feature Extraction Using Block-based Local Binary Pattern for Face Recognition. IRIACV 2016: 1-6 - [c86]Charbel Chahla, Hichem Snoussi, Fahed Abdallah, Fadi Dornaika:
Exploiting color cues to improve person re-identification. ICDP 2016: 1-3 - [c85]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek, Fadi Dornaika:
Visual localization based on sequence matching using ConvNet features. IECON 2016: 1067-1074 - [c84]C. Belver, Ignacio Arganda-Carreras, Fadi Dornaika:
Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features. VAAM/FFER@ICPR 2016: 98-112 - 2015
- [j43]Youssof El Traboulsi, Fadi Dornaika, Ammar Assoum:
Kernel flexible manifold embedding for pattern classification. Neurocomputing 167: 517-527 (2015) - [j42]Fadi Dornaika, Alireza Bosaghzadeh:
Adaptive graph construction using data self-representativeness for pattern classification. Inf. Sci. 325: 118-139 (2015) - [j41]Fadi Dornaika, Abdelmalik Moujahid, Alireza Bosaghzadeh, Youssef El Merabet, Yassine Ruichek:
Object Classification using Hybrid Holistic Descriptors: Application to Building Detection in Aerial Orthophotos. Polibits 51: 11-17 (2015) - [j40]Fadi Dornaika, Ihab Kamal Aldine:
Decremental Sparse Modeling Representative Selection for prototype selection. Pattern Recognit. 48(11): 3714-3727 (2015) - [c83]Karim Hammoudi, Halim Benhabiles, Mohamed Kasraoui, Nabil Ajam, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu:
Developing Vision-based and Cooperative Vehicular Embedded Systems for Enhancing Road Monitoring Services. ANT/SEIT 2015: 389-395 - [c82]Bogdan Raducanu, Alireza Bosaghzadeh, Fadi Dornaika:
Multi-observation face recognition in videos based on label propagation. CVPR Workshops 2015: 10-17 - [c81]Ghina Dandachi, Ammar Assoum, Bachar Elhassan, Fadi Dornaika:
Machine learning schemes in augmented reality for features detection. DICTAP 2015: 101-105 - [c80]Fadi Dornaika, Ammar Assoum, Yassine Ruichek:
Graph optimized Laplacian eigenmaps for face recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 94060E - [c79]Noelia Oses, Fadi Dornaika, Abdelmalik Moujahid:
Fine grained recognition of masonry walls for built heritage assessment. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 94060I - [c78]Fadi Dornaika, Ihab Kamal Aldine, Blanca Cases:
Exemplar Selection Using Collaborative Neighbor Representation. HAIS 2015: 439-450 - [c77]Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu:
Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System. PECCS 2015: 174-179 - 2014
- [j39]Fadi Dornaika, Alireza Bosaghzadeh, Houssam Salmane, Yassine Ruichek:
A graph construction method using LBP self-representativeness for outdoor object categorization. Eng. Appl. Artif. Intell. 36: 294-302 (2014) - [j38]Fadi Dornaika, Alireza Bosaghzadeh, Houssam Salmane, Yassine Ruichek:
Graph-based semi-supervised learning with Local Binary Patterns for holistic object categorization. Expert Syst. Appl. 41(17): 7744-7753 (2014) - [j37]Luis Unzueta, Waldir Pimenta, Jon Goenetxea, Luís Paulo Santos, Fadi Dornaika:
Efficient generic face model fitting to images and videos. Image Vis. Comput. 32(5): 321-334 (2014) - [j36]Bogdan Raducanu, Fadi Dornaika:
Embedding new observations via sparse-coding for non-linear manifold learning. Pattern Recognit. 47(1): 480-492 (2014) - [j35]Noelia Oses, Fadi Dornaika, Abdelmalik Moujahid:
Image-Based Delineation and Classification of Built Heritage Masonry. Remote. Sens. 6(3): 1863-1889 (2014) - [c76]Fadi Dornaika, Youssof El Traboulsi:
A Flexible Semi-supervised Feature Extraction Method for Image Classification. ACCV Workshops (3) 2014: 122-137 - [c75]Fadi Dornaika, Ihab Kamal Aldine:
Instance Selection Using Two Phase Collaborative Neighbor Representation. ICANN 2014: 121-128 - [c74]Fadi Dornaika, Alireza Bosaghzadeh:
Two Subspace-Based Kernel Local Discriminant Embedding. ICANN 2014: 595-602 - [c73]Fadi Dornaika, Alireza Bosaghzadeh, Houssam Salmane, Yassine Ruichek:
Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification. ICPR 2014: 2483-2488 - [c72]Fadi Dornaika, Youssof El Traboulsi, Blanca Cases, Ammar Assoum:
Image Classification via Semi-supervised Feature Extraction with Out-of-Sample Extension. ISVC (1) 2014: 182-192 - [i2]Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu:
Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems. CoRR abs/1412.6149 (2014) - 2013
- [j34]Fadi Dornaika, Abdelmalik Moujahid, Bogdan Raducanu:
Facial expression recognition using tracked facial actions: Classifier performance analysis. Eng. Appl. Artif. Intell. 26(1): 467-477 (2013) - [j33]Fadi Dornaika, Ammar Assoum:
Enhanced and parameterless Locality Preserving Projections for face recognition. Neurocomputing 99: 448-457 (2013) - [j32]Bogdan Raducanu, Fadi Dornaika:
Texture-independent recognition of facial expressions in image snapshots and videos. Mach. Vis. Appl. 24(4): 811-820 (2013) - [j31]Alireza Bosaghzadeh, Abdelmalik Moujahid, Fadi Dornaika:
Parameterless Local Discriminant Embedding. Neural Process. Lett. 38(1): 53-67 (2013) - [j30]Fadi Dornaika, Alireza Bosaghzadeh:
Exponential Local Discriminant Embedding and Its Application to Face Recognition. IEEE Trans. Cybern. 43(3): 921-934 (2013) - [c71]Fadi Dornaika, Youssof El Traboulsi, Ammar Assoum:
Adaptive Two Phase Sparse Representation Classifier for Face Recognition. ACIVS 2013: 182-191 - [c70]Fadi Dornaika, B. Raduncanu:
Out-of-Sample Embedding for Manifold Learning Applied to Face Recognition. CVPR Workshops 2013: 862-868 - [c69]Fadi Dornaika, Ammar Assoum:
Supervised linear dimensionality reduction with robust margins for object recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2013: 86620R - [c68]Fadi Dornaika, Alireza Bosaghzadeh, Bogdan Raducanu:
Efficient Graph Construction for Label Propagation Based Multi-observation Face Recognition. HBU 2013: 124-135 - [c67]Fadi Dornaika, Alireza Bosaghzadeh:
On Solving the Small Sample Size Problem for Marginal Fisher Analysis. ICIAR 2013: 116-123 - [c66]Noelia Oses, Fadi Dornaika:
Image-Based Delineation of Built Heritage Masonry for Automatic Classification. ICIAR 2013: 782-789 - [c65]Fadi Dornaika, A. Bosgahzadeh, Ammar Assoum:
Model-less 3D Head Pose Estimation using Self-optimized Local Discriminant Embedding. VISAPP (2) 2013: 347-352 - [i1]Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis:
A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data. CoRR abs/1308.6401 (2013) - 2012
- [j29]Bogdan Raducanu, Fadi Dornaika:
A supervised non-linear dimensionality reduction approach for manifold learning. Pattern Recognit. 45(6): 2432-2444 (2012) - [j28]Fadi Dornaika, James H. Elder:
Image registration for foveated panoramic sensing. ACM Trans. Multim. Comput. Commun. Appl. 8(2): 17:1-17:20 (2012) - [c64]Bogdan Raducanu, Fadi Dornaika:
Pose-Invariant Face Recognition in Videos for Human-Machine Interaction. ECCV Workshops (2) 2012: 566-575 - [c63]Fadi Dornaika, Ammar Assoum:
A novel margin-based linear embedding technique for visual object recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 83010Q - [c62]Fadi Dornaika, Alireza Bosaghzadeh:
Generalized Local Discriminant Embedding for Face Recognition. ICIAR (2) 2012: 90-97 - [c61]Bogdan Raducanu, Fadi Dornaika:
Out-of-Sample Embedding by Sparse Representation. SSPR/SPR 2012: 336-344 - [c60]Fadi Dornaika, Ammar Assoum, Bogdan Raducanu:
Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection. SSPR/SPR 2012: 575-583 - [c59]Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, Nicolas Paparoditis:
Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data. VR 2012: 153-154 - [c58]Bogdan Raducanu, Fadi Dornaika:
Appearance-based face recognition using a supervised manifold learning framework. WACV 2012: 465-470 - [c57]Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis:
Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting. WIAMIS 2012: 1-4 - [p1]Angel Domingo Sappa, David Gerónimo, Fadi Dornaika, Mohammad Rouhani, Antonio M. López:
Moving Object Detection from Mobile Platforms Using Stereo Data Registration. Computational Intelligence Paradigms in Advanced Pattern Classification 2012: 25-37 - 2011
- [j27]Fadi Dornaika, Elena Lazkano, Basilio Sierra:
Improving dynamic facial expression recognition with feature subset selection. Pattern Recognit. Lett. 32(5): 740-748 (2011) - [j26]Karim Hammoudi, Fadi Dornaika:
A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images. Sensors 11(1): 228-259 (2011) - [j25]Fadi Dornaika, José M. Álvarez, Angel Domingo Sappa, Antonio M. López:
A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration. IEEE Trans. Intell. Transp. Syst. 12(4): 954-966 (2011) - [c56]Fadi Dornaika, Ammar Assoum, Alireza Bosaghzadeh:
Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition Tasks. ACIVS 2011: 127-138 - [c55]Fadi Dornaika, Ammar Assoum:
Selective locality preserving projections for face recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2011: 78780Y - [c54]Karim Hammoudi, Fadi Dornaika, Nicolas Paparoditis:
Generating Virtual 3D Model of Urban Street Facades by Fusing Terrestrial Multi-source Data. Intelligent Environments 2011: 330-333 - [c53]Fadi Dornaika, Ammar Assoum, Abdelmalik Moujahid:
Enhanced and Parameterless Locality Preserving Projections for Face Recognition. Intelligent Environments (Workshops) 2011: 374-383 - [c52]Alireza Bosaghzadeh, Fadi Dornaika:
A Parameter-Free Locality Sensitive Discriminant Analysis and Its Application to Coarse 3D Head Pose Estimation. ISVC (2) 2011: 545-554 - 2010
- [c51]Fadi Dornaika, Karim Hammoudi:
Estimating 3D Polyhedral Building Models by Registering Aerial Images. ACIVS (2) 2010: 239-248 - [c50]Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Nicolas Paparoditis:
Extracting Outlined Planar Clusters of Street Facades from 3D Point Clouds. CRV 2010: 122-129 - [c49]Fadi Dornaika, Bogdan Raducanu:
Single snapshot-based 3D head pose initialization for tracking in a HRI scenario. CVPR Workshops 2010: 32-39 - [c48]Fadi Chakik, Fadi Dornaika:
Intégration de connaissances a priori dans le principe du maximum d'entropie. EGC 2010: 549-554 - [c47]Fadi Dornaika, Fadi Chakik:
Inférence bayesienne du maximum d'entropie pour le diagnostic du cancer. EGC 2010: 677-678 - [c46]Fadi Dornaika:
A Holistic Approach to Eyelid Tracking Under Varying Head Pose. ICIP 2010: 4505-4508 - [c45]Fadi Dornaika, Fadi Chakik:
Efficient Object Detection and Matching Using Feature Classification. ICPR 2010: 3073-3076 - [c44]Fadi Dornaika, Bogdan Raducanu:
Person-Specific Face Shape Estimation under Varying Head Pose from Single Snapshots. ICPR 2010: 3496-3499 - [c43]Bogdan Raducanu, Fadi Dornaika:
Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning. ICRA 2010: 156-161 - [c42]Fadi Dornaika, Ammar Assoum:
Linear Dimensionality Reduction through Eigenvector Selection for Object Recognition. ISVC (1) 2010: 276-285
2000 – 2009
- 2009
- [j24]Fadi Dornaika, Angel Domingo Sappa:
A featureless and stochastic approach to on-board stereo vision system pose. Image Vis. Comput. 27(9): 1382-1393 (2009) - [j23]Fadi Dornaika, Angel Domingo Sappa:
Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression. Pattern Recognit. Lett. 30(5): 535-543 (2009) - [j22]Fadi Dornaika, Bogdan Raducanu:
Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application. IEEE Trans. Syst. Man Cybern. Part B 39(4): 935-944 (2009) - [c41]Bogdan Raducanu, Fadi Dornaika:
Natural Facial Expression Recognition Using Dynamic and Static Schemes. ISVC (1) 2009: 730-739 - [c40]Fadi Dornaika, Karim Hammoudi:
Extracting 3D Polyhedral Building Models from Aerial Images Using a Featureless and Direct Approach. MVA 2009: 378-381 - [c39]Fadi Dornaika, Bogdan Raducanu:
Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach. WACV 2009: 1-6 - [r1]Fadi Dornaika, Bogdan Raducanu:
Facial Expression Recognition for HCI Applications. Encyclopedia of Artificial Intelligence 2009: 625-631 - 2008
- [j21]Fadi Dornaika, Franck Davoine:
Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion. Int. J. Comput. Vis. 76(3): 257-281 (2008) - [j20]Fadi Dornaika, Angel Domingo Sappa:
Evaluation of an appearance-based 3D face tracker using dense 3D data. Mach. Vis. Appl. 19(5-6): 427-441 (2008) - [j19]Angel Domingo Sappa, Fadi Dornaika, Daniel Ponsa, David Gerónimo, Antonio M. López:
An Efficient Approach to Onboard Stereo Vision System Pose Estimation. IEEE Trans. Intell. Transp. Syst. 9(3): 476-490 (2008) - [c38]Bogdan Raducanu, Fadi Dornaika:
Dynamic vs. Static Recognition of Facial Expressions. AmI 2008: 13-25 - [c37]Fadi Dornaika, Franck Davoine:
Simultaneous tracking and facial expression recognition using multiperson and multiclass autoregressive models. FG 2008: 1-6 - [c36]Fadi Dornaika, Bogdan Raducanu:
Constructing panoramic views through facial gaze tracking. ICME 2008: 969-972 - [c35]Fadi Dornaika, Bogdan Raducanu:
Detecting and tracking of 3D face pose for human-robot interaction. ICRA 2008: 1716-1721 - 2007
- [j18]Fadi Dornaika, Javier Orozco:
Real time 3D face and facial feature tracking. J. Real Time Image Process. 2(1): 35-44 (2007) - [j17]Fadi Dornaika:
Self-calibration of a stereo rig using monocular epipolar geometries. Pattern Recognit. 40(10): 2716-2729 (2007) - [j16]Fadi Dornaika, Angel Domingo Sappa:
Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models. Pattern Recognit. Lett. 28(15): 2116-2126 (2007) - [j15]Fadi Dornaika, Bogdan Raducanu:
Inferring facial expressions from videos: Tool and application. Signal Process. Image Commun. 22(9): 769-784 (2007) - [c34]Angel Domingo Sappa, Rosa Herrero, Fadi Dornaika, David Gerónimo, Antonio M. López:
Road Approximation in Euclidean and v -Disparity Space: A Comparative Study. EUROCAST 2007: 1105-1112 - [c33]Angel Domingo Sappa, Fadi Dornaika, David Gerónimo, Antonio M. López:
Efficient On-Board Stereo Vision Pose Estimation. EUROCAST 2007: 1183-1190 - [c32]Fadi Dornaika, Angel Domingo Sappa:
Real-Time Vehicle Ego-Motion Using Stereo Pairs and Particle Filters. ICIAR 2007: 469-480 - [c31]Fadi Dornaika, Bogdan Raducanu:
Efficient Facial Expression Recognition for Human Robot Interaction. IWANN 2007: 700-708 - 2006
- [j14]Fadi Dornaika, Jörgen Ahlberg:
Fitting 3D face models for tracking and active appearance model training. Image Vis. Comput. 24(9): 1010-1024 (2006) - [j13]Fadi Dornaika, Franck Davoine:
On Appearance Based Face and Facial Action Tracking. IEEE Trans. Circuits Syst. Video Technol. 16(9): 1107-1124 (2006) - [c30]Fadi Dornaika, Angel Domingo Sappa:
Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo-Based 3D Models. ACIVS 2006: 675-686 - [c29]Fadi Dornaika, Javier Orozco, Jordi Gonzàlez:
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models. AMDO 2006: 110-119 - [c28]Fadi Dornaika, Bogdan Raducanu:
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme. AVSS 2006: 8 - [c27]Angel Domingo Sappa, Fadi Dornaika:
An Edge-Based Approach to Motion Detection. International Conference on Computational Science (1) 2006: 563-570 - [c26]Angel Domingo Sappa, David Gerónimo, Fadi Dornaika, Antonio M. López:
Real Time Vehicle Pose Using On-Board Stereo Vision System. ICIAR (2) 2006: 205-216 - [c25]Fadi Dornaika, Franck Davoine:
Facial Expression Recognition using Auto-regressive Models. ICPR (2) 2006: 520-523 - [c24]Fadi Dornaika, Angel Domingo Sappa:
3D Face Tracking Using Appearance Registration and Robust Iterative Closest Point Algorithm. ISCIS 2006: 532-541 - [c23]Fadi Dornaika, Angel Domingo Sappa:
3D Motion from Image Derivatives Using the Least Trimmed Square Regression. IWICPAS 2006: 76-84 - [c22]Fadi Dornaika, Angel Domingo Sappa:
Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data. VISIGRAPP (Selected Papers) 2006: 354-366 - 2005
- [c21]Fadi Dornaika, Franck Davoine:
Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter. ICCV 2005: 1733-1738 - [c20]Fadi Dornaika, Angel Domingo Sappa:
Sfm for planar scenes: a direct and robust approach. ICINCO 2005: 175-180 - [c19]Fadi Dornaika, Franck Davoine:
SFM for planar scenes using image derivatives. ICIP (3) 2005: 1088-1091 - [c18]Fadi Dornaika, Franck Davoine:
View and texture-independent facial expression recognition in videos using dynamic programming. ICIP (2) 2005: 1314-1317 - [c17]Fadi Dornaika, Franck Davoine:
Facial expression recognition in continuous videos using linear discriminant analysis. MVA 2005: 277-280 - 2004
- [j12]Fadi Dornaika, Jörgen Ahlberg:
Face And Facial Feature Tracking Using Deformable Models. Int. J. Image Graph. 4(3): 499-532 (2004) - [j11]Fadi Dornaika, Ronald Chung:
Mosaicking images with parallax. Signal Process. Image Commun. 19(8): 771-786 (2004) - [j10]Fadi Dornaika, Jörgen Ahlberg:
Fast and reliable active appearance model search for 3-D face tracking. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1838-1853 (2004) - [c16]Fadi Dornaika, Franck Davoine:
Head and Facial Animation Tracking using Appearance-Adaptive Models and Particle Filters. CVPR Workshops 2004: 153 - [c15]Fadi Dornaika, Jörgen Ahlberg:
Model-Based Head and Facial Motion Tracking. ECCV Workshop on HCI 2004: 221-232 - [c14]Fadi Dornaika, Franck Davoine:
Online Appearance-Based Face and Facial Feature Tracking. ICPR (3) 2004: 814-817 - 2003
- [j9]Fadi Dornaika, Ronald Chung:
Stereo geometry from 3D ego-motion streams. IEEE Trans. Syst. Man Cybern. Part B 33(2): 308-323 (2003) - [c13]Fadi Dornaika, Jörgen Ahlberg:
Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking. AMFG 2003: 173-180 - [c12]Fadi Dornaika, Jörgen Ahlberg:
Face Model Adaptation for Tracking and Active Appearance Model Training. BMVC 2003: 1-10 - 2002
- [j8]Fadi Dornaika, Ronald Chung:
Binocular matching constraints from motion. Pattern Recognit. 35(10): 2003-2012 (2002) - [c11]Fadi Dornaika, James H. Elder:
Image Registration for Foveated Omnidirectional Sensing. ECCV (4) 2002: 606-620 - [c10]Fadi Dornaika, Jörgen Ahlberg:
Face Model Adaptation using Robust Matching and Active Appearance Models. WACV 2002: 3-7 - 2001
- [j7]Fadi Dornaika, Ronald Chung:
An Algebraic Approach to Camera Self-Calibration. Comput. Vis. Image Underst. 83(3): 195-215 (2001) - [c9]Fadi Dornaika:
Self-Calibration of a Stereo Rig Using Monocular Epipolar Geometry. ICCV 2001: 467-472 - [c8]Fadi Dornaika:
View Synthesis from Two Uncalibrated Images. ICIAP 2001: 284-289 - [c7]Kihwan Kwon, Hong Zhang, Fadi Dornaika:
Hand Pose Recovery with a Single Video Camera. ICRA 2001: 1194-1200 - 2000
- [j6]Fadi Dornaika, Ronald Chung:
Cooperative Stereo-Motion: Matching and Reconstruction. Comput. Vis. Image Underst. 79(3): 408-427 (2000) - [c6]Fadi Dornaika, Hong Zhang:
Granulometry Using Mathematical Morphology and Motion. MVA 2000: 51-54
1990 – 1999
- 1999
- [j5]Fadi Dornaika, Christophe Garcia:
Pose Estimation using Point and Line Correspondences. Real Time Imaging 5(3): 215-230 (1999) - [c5]Fadi Dornaika, Ronald Chung:
Stereo Correspondence from Motion Correspondence. CVPR 1999: 1070-1075 - 1998
- [j4]Radu Horaud, Fadi Dornaika, Bernard Espiau:
Visually guided object grasping. IEEE Trans. Robotics Autom. 14(4): 525-532 (1998) - [j3]Fadi Dornaika, Radu Horaud:
Simultaneous robot-world and hand-eye calibration. IEEE Trans. Robotics Autom. 14(4): 617-622 (1998) - 1997
- [j2]Radu Horaud, Fadi Dornaika, Bart Lamiroy:
Object Pose: The Link between Weak Perspective, Paraperspective, and Full Perspective. Int. J. Comput. Vis. 22(2): 173-189 (1997) - [c4]Fadi Dornaika, Christophe Garcia:
Object Pose by Affine Iterations. ICIAP (1) 1997: 478-485 - 1995
- [b1]Fadi Dornaika:
Contributions à l'intégration vision robotique : calibrage, localisation et asservissement. (Contributions to the integration of vision and robotics : calibration, localization, and servoing). Grenoble Institute of Technology, France, 1995 - [j1]Radu Horaud, Fadi Dornaika:
Hand-Eye Calibration. Int. J. Robotics Res. 14(3): 195-210 (1995) - [c3]Radu Horaud, Stéphane Christy, Fadi Dornaika, Bart Lamiroy:
Object Pose: Links Between Paraperspective and Perspective. ICCV 1995: 426- - [c2]Radu Horaud, Fadi Dornaika, Christian Bard, Christian Laugier:
Integrating Grasp Planning and Visual Servoing for Automatic Grasping. ISER 1995: 71-82 - 1994
- [c1]Radu Horaud, Fadi Dornaika, Boubakeur Boufama, Roger Mohr:
Self Calibration of a Stereo Head Mounted onto a Robot Arm. ECCV (1) 1994: 455-462
Coauthor Index
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